Bump version to 8.0.7 and update package dependencies

[barun-saha]

Summary by CodeRabbit

• Chores
  • Updated multiple package dependencies to latest versions for improved stability.
  • Revised AI provider integrations.
  • Released version 8.0.7.

_{✏️ Tip: You can customize this high-level summary in your review settings.}

[coderabbitai]

📝 Walkthrough

Walkthrough

This PR updates project dependencies in requirements.txt and increments the version number. Key changes include upgrading multiple package versions, replacing google-generativeai with google-genai, adding litellm and streamlit, and updating existing packages like pypdf and ollama.

Changes

Cohort / File(s)	Summary
Dependency Version Updates requirements.txt	Updated 10+ package versions including python-dotenv[cli], gitpython, json-repair, idna, pypdf, ollama, and protobuf. Replaced google-generativeai with google-genai. Added litellm, streamlit, lxml, tqdm, numpy, scikit-learn, certifi, urllib3, anyio, and httpx.
Version Bump src/slidedeckai/_version.py	Incremented __version__ from '8.0.6' to '8.0.7'.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Possibly related PRs

• Update dependencies in requirements.txt #182: Updates overlapping dependencies (json-repair, litellm, streamlit, pypdf, lxml, httpx) in requirements.txt
• Update package versions #149: Modifies litellm and pypdf version constraints
• Update packages and patch version #192: Updates requirements.txt and version bump in src/slidedeckai/_version.py

Poem

🐰 A hop through dependencies, all trimmed and neat!
Version eight-point-seven makes the release complete.
Google-genai now leads the way,
With litellm joining for a brighter day!
Requirements refreshed, our project flies—
hop hop hop toward the skies! 🚀

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title accurately captures both main changes: version bump to 8.0.7 and dependency updates across multiple packages.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

✨ Finishing touches

• 📝 Generate docstrings

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch patch

---

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

• X
• Mastodon
• Reddit
• LinkedIn

_{Comment @coderabbitai help to get the list of available commands and usage tips.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

📢 Thoughts on this report? Let us know!

[coderabbitai]

Actionable comments posted: 1

🤖 Fix all issues with AI agents

In `@requirements.txt`:
- Around line 11-12: Update requirements.txt to pin the google-genai dependency
to a specific compatible version (e.g., change "google-genai" to
"google-genai~=1.58.0") to ensure reproducible builds, and remove the
commented-out "#google-generativeai" line to reduce clutter.

🧹 Nitpick comments (2)

requirements.txt (2)

26-27: Consider pinning numpy version for compatibility.

numpy is unpinned while scikit-learn~=1.5.1 is pinned. Since scikit-learn depends on specific numpy versions, leaving numpy unpinned could lead to compatibility issues or unexpected behavior.

Suggested fix

-numpy
+numpy~=1.26.4

Or use whatever numpy version is compatible with your scikit-learn and torch requirements.

---

35-35: Clarify huggingface-hub version intent.

The version specifier #~=0.24.5 is commented out, leaving the package unpinned. If this is intentional (e.g., to allow latest), consider removing the comment entirely. If a specific version is needed, uncomment the specifier.

Suggested options

Option 1 - Pin to a version:

-huggingface-hub  #~=0.24.5
+huggingface-hub~=0.24.5

Option 2 - Remove stale comment:

-huggingface-hub  #~=0.24.5
+huggingface-hub

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

🧩 Analysis chain

🌐 Web query:

google-genai package pypi python

💡 Result:

google-genai is Google’s Gen AI Python SDK on PyPI for calling Gemini Developer API and Vertex AI from Python. [1]

• Install: pip install google-genai [1]
• Import: from google import genai and from google.genai import types [1]
• Create a client:
  • Gemini Developer API: genai.Client(api_key="GEMINI_API_KEY") [1]
  • Vertex AI: genai.Client(vertexai=True, project="...", location="us-central1") [1]
• Latest release shown on PyPI: 1.58.0 (uploaded Jan 15, 2026). [1]
• Official downloads page / repo pointer: Google lists google-genai as the Python library and points to googleapis/python-genai. [2]

Sources: PyPI project page for google-genai [1]; Google AI for Developers “Gemini API libraries” downloads page [2].

---

Pin google-genai to a specific version for reproducibility.

The google-genai package is added without version pinning, which can lead to non-reproducible builds. Pin it to a compatible release specifier like ~=1.58.0 to match the convention used for other dependencies.

Also, remove the commented-out google-generativeai line to reduce clutter.

🤖 Prompt for AI Agents

In `@requirements.txt` around lines 11 - 12, Update requirements.txt to pin the
google-genai dependency to a specific compatible version (e.g., change
"google-genai" to "google-genai~=1.58.0") to ensure reproducible builds, and
remove the commented-out "#google-generativeai" line to reduce clutter.